LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety explores A language-agnostic method for LLM safety that anchors alignment in the model's semantic bottleneck, significantly reducing attack success rates across languages.. Commercial viability score: 8/10 in LLM Safety.
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Freshness
Canonical route: /paper/lasa-language-agnostic-semantic-alignment-at-the-semantic-bottleneck-for-llm-safety
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Agent Handoff
Canonical ID lasa-language-agnostic-semantic-alignment-at-the-semantic-bottleneck-for-llm-safety | Route /paper/lasa-language-agnostic-semantic-alignment-at-the-semantic-bottleneck-for-llm-safety
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/lasa-language-agnostic-semantic-alignment-at-the-semantic-bottleneck-for-llm-safetyMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.12710"
}
}source_context
{
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"paper_ref": "lasa-language-agnostic-semantic-alignment-at-the-semantic-bottleneck-for-llm-safety",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 8.0
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